The performances of the chi-square test and complexity measures for signal recognition in biological sequences

DOI10.1016/J.JTBI.2007.11.021zbMath1398.92082OpenAlexW2026938524WikidataQ42641583 ScholiaQ42641583MaRDI QIDQ1788658

Changiz Eslahchi, Hamid Pezeshk, Mehdi Kargar, Leila Pirhaji, Hadi Poormohammadi, Armita Sheari, Mehdi Sadeghi

Publication date: 8 October 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2007.11.021

zbMATH Keywords

linguistic complexitylow complexity zoneopen reading frame

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Genetics and epigenetics (92D10) Descriptive complexity and finite models (68Q19)

Cites Work

• Analytical recognition methods for repeated structures in genomes
• Physical complexity of symbolic sequences
• Rényi continuous entropy of DNA sequences
• A global compositional complexity measure for biological sequences: AT-rich and GC-rich genomes encode less complex proteins

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